0137 Self-Reported Sleep Quality is Associated with Central Hemodynamics in Healthy Individuals. (27th May 2020)

• Record Type: Journal Article
• Authors: Culver, M N; Flatt, A A; Grosicki, G J
• Is Part Of: Sleep. Volume 43(2020)Supplement 1
• Page Start: A54
• Page End: A54
• Publication Date: 2020-05-27
• Subjects: Sleep -- Physiological aspects -- Periodicals; Sleep disorders -- Periodicals; Sommeil -- Aspect physiologique -- Périodiques; Sommeil, Troubles du -- Périodiques; Sleep disorders; Sleep -- Physiological aspects; Sleep -- physiological aspects; Sleep Wake Disorders; Psychophysiology; Electronic journals; Periodicals; 616.8498
• DOI: 10.1093/sleep/zsaa056.135
• Languages: English
• ISSNs: 0161-8105

Abstract

Abstract: Introduction: Insufficient sleep is associated with arterial stiffness and elevated cardiovascular disease risk. Central hemodynamics are influenced by arterial stiffness, yet independently predict cardiovascular risk. Relationships between sleep characteristics and central hemodynamic parameters are largely unexplored. We aimed to characterize the relationship between self-reported sleep quality and central hemodynamics in healthy individuals. To explore the hypothesis that impairments in glucose metabolism, resulting from lack of sleep, may underlie relationships between sleep and central hemodynamic variables, we also examined associations between self-reported sleep quality and fasting blood glucose values. Methods: Thirty-one healthy subjects (14 females /17 males; 20–69 years) that were free from metabolic or cardiovascular disease, and that did not take sleep medication were included in the study. Relationships between self-reported sleep quality, obtained using the Pittsburgh Sleep Quality Index (PSQI), with central hemodynamic profiles(systolic and diastolic blood pressures, pulse and augmentation pressures, augmentation index) estimated from oscillometric pulse wave analysis, and fasting blood glucose values were assessed. Results: Central pulse pressure was significantly elevated (P<0.05) in poor (PSQIscore >5) compared to normal (PSQI score 0–5) self-reported sleepers. Linear regression models, adjusted for age, gender, and body mass index, demonstrated PSQI score to be an independent predictor (P<0.05) of both central pulse (β=0.469) and augmentation (β=0.364) pressures. Global PSQI scores were not related to fasting blood glucose values (r=0.045; P>0.05). Conclusion: Significant relationships between central pulse and augmentationpressures and self-reported sleep quality highlight the importance of considering sleep when examining lifestyle contributors to central hemodynamics. Support: No funding.